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The catch is that the models don't have confidence. They cannot distinguish between knowing something for sure, guessing something and hallucinating false knowl
by yreg 3y ago
The catch is that the models don't have confidence. They cannot distinguish between knowing something for sure, guessing something and hallucinating false knowledge.
Perhaps researchers will find some clever solution to mitigate this, but for now hallucinating is a pretty good word precisely because the model doesn't give confidence.
- T-A 3y agoThe Internal State of an LLM Knows When its Lying https://arxiv.org/abs/2304.13734 https://arxiv.org/abs/2304.13734
- yreg 3y agoIt's not surprising that this information is somehow saved in the internal state, but it is surprising that they were able to read it to some level. I don't think the model can access this information, but an external "lie detector" would be interesting. Thanks for the paper.
- shreyshnaccount 3y agothat seems wrong.. don't llms runs on probability distributions? Won't they have confidence built in?
- yreg 3y agoI don't think probability of tokens can be mistaken for confidence of knowledge being correct. I'd take it more as a fitness whether the tokens fit naturally in the sentence.
- shreyshnaccount 3y agoMakes sense, but i wonder if there's some way to retrofit that functionality onto it